Rwanda - Mortality rate, infant (per 1,000 live births)

The value for Mortality rate, infant (per 1,000 live births) in Rwanda was 30.30 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 190.60 in 1994 and a minimum value of 30.30 in 2020.

Definition: Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.

Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.

See also:

Year Value
1960 130.70
1961 128.00
1962 126.20
1963 124.90
1964 124.30
1965 124.30
1966 124.80
1967 125.90
1968 127.40
1969 129.20
1970 131.10
1971 132.90
1972 135.10
1973 138.30
1974 142.10
1975 145.70
1976 148.20
1977 148.20
1978 144.80
1979 138.10
1980 129.40
1981 120.20
1982 111.90
1983 105.60
1984 101.10
1985 97.70
1986 94.70
1987 92.30
1988 90.50
1989 90.10
1990 92.10
1991 97.10
1992 104.70
1993 113.70
1994 190.60
1995 129.20
1996 131.50
1997 129.40
1998 124.50
1999 117.80
2000 109.50
2001 100.00
2002 90.30
2003 81.40
2004 72.80
2005 65.50
2006 59.30
2007 54.40
2008 50.20
2009 47.00
2010 44.00
2011 40.60
2012 38.80
2013 37.10
2014 35.70
2015 34.60
2016 33.70
2017 32.90
2018 32.00
2019 31.10
2020 30.30

Development Relevance: Mortality rates for different age groups (infants, children, and adults) and overall mortality indicators (life expectancy at birth or survival to a given age) are important indicators of health status in a country. Because data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. And they are among the indicators most frequently used to compare socioeconomic development across countries.

Limitations and Exceptions: Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.

Statistical Concept and Methodology: The main sources of mortality data are vital registration systems and direct or indirect estimates based on sample surveys or censuses. A "complete" vital registration system - covering at least 90 percent of vital events in the population - is the best source of age-specific mortality data. Estimates of neonatal, infant, and child mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparisons across countries and over time difficult. To make neonatal, infant, and child mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the World Bank, the United Nations Population Division, and other universities and research institutes, developed and adopted a statistical method that uses all available information to reconcile differences. The method uses statistical models to obtain a best estimate trend line by fitting a country-specific regression model of mortality rates against their reference dates.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development ac

Classification

Topic: Health Indicators

Sub-Topic: Mortality